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Enregistrement W7062412652

Technical-economic feasibility and simulation of ÉTS' electricity saving with photovoltaic system and batteries

2019· other· en· W7062412652 sur OpenAlexaboutno aff

Notice bibliographique

RevueEspace École de technologie supérieure (École de technologie supérieure) · 2019
Typeother
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPhotovoltaic systemElectricityIncentiveBattery (electricity)IrradianceStand-alone power systemSolar irradianceDemand responsePeak demandLoad profile
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The goal of this Master’s thesis is to make a technical-economic feasibility study and a yearly simulation of École de Technologie Supérieure’s electricity expenses and savings with and without a Solar Photovoltaic System, Battery Energy Storage System, financial incentives or demand response, taking into account the Quebec and Ontario electricity rates in 2017. \n \nSix scenarios are proposed and simulated in a 5-minute interval with 2017 ÉTS power data, Montreal’s solar irradiance and temperature and all Quebec and Ontario’s electricity charges for a 5 MW customer as ÉTS. All simulations were obtained with Matlab SimScape Power System, where each system was analyzed separately and/or together, as followed: \n \n0) Baseline Scenario: ÉTS in Ontario and Quebec with electricity standard rates; \n1) ÉTS in Ontario with financial incentive and in Quebec with demand response; \n2) ÉTS in Ontario with financial incentive and Photovoltaic Arrays (150kW) as well as in Quebec with standard rates and PV Arrays; \n3) ÉTS in Ontario with financial incentive, PV Arrays (150 kW) and Batteries (250 kW) as well as in Quebec with demand response, PV Arrays and Batteries; \n4) ÉTS in Ontario with financial incentive and Batteries (250 kW) as well as in Quebec with demand response and Batteries; \n5A / 5B) ÉTS in Ontario with financial incentive, batteries with Time of Use pricing (250 kW) (5A) and also with Photovoltaic Panels (150 kW) (5B); \n6) ÉTS in Ontario with financial incentive, PV Arrays (500 kW) and Batteries (250 kW) as well as in Quebec with demand response, PV Arrays and Batteries; \n \nFirst, the simulation showed that PV System reduced the 5 MW peak power and energy consumption in both provinces, while battery energy storage system reduced the peak power and allowed the participation in the demand response program, GDP, in Quebec. Secondly, Energy and Power costs represented around 93% and 7% of a yearly bill in ON, while 61% and 39% in QC, respectively. Also, the simulation results indicated that the electricity rate variance between both provinces is huge, where it is around four times more expensive in ON than in QC, around 0.27 $/kWh and 0.057 $/kWh, respectively. The simulation also showed that the price per kWh was reduced up to 13.77% in ON from 0.3025 $/kWh to 0.2608 $/kWh and up to 6.08% in QC, from 0.0571 $/kWh to 0.0536 $/kWh, after adding PV systems, Batteries and financial incentives or demand response program. \n \nFurthermore, the simulation indicated a yearly energy saving of 412.77 MWh from MATLAB SimScape Power System and 260.53 MWh from RETScreen for electricity exported to the grid, by using a 150 kW PV Arrays (3% of 5MW from ÉTS). Also, 1,376.95 MWh yearly energy savings from MATLAB and 868.42 MWh from RETScreen, by using a 500 kW PV Arrays (10% of 5MW from ÉTS). The variance around 50% lower on RETScreen indicates a more accurate method for energy saving, with some different input data (solar irradiance and temperature) and higher loss coefficient on RETScreen. \n \nThe technical-economic feasibility indicated that a Solar PV System is economically feasible in Ontario, where an annual saving of $151,574.73 was reached for a 150 kW MPP, with a $873,050 investment, high IRR, high NPV and low payback period. Based on this potential electricity saving using a PV System, a random higher MPP of 500 kW was simulated, where an annual saving of $493,515.15 for $2,773,435 Investment, higher NPV, higher IRR and a lower payback than 150 kW were reached, due to economies of scale. No PV System was economically feasible in QC, due to its low electricity price. Also, the 250 kW BESS is not economically feasible neither in ON nor in QC, due to a high investment, low annual energy saving and a high payback period. \n \nIn Ontario, ÉTS should utilize a system of 500 kW of Photovoltaic System or higher, without any batteries, in order to achieve a considerable reduction in the yearly bill and on the price per kWh, with a low payback period and high IRR and NPV. Also, the participation of the Wholesale market held by IESO through bids to reduce the electricity cost/kWh, pay the GA by consumption or PDF (9% of yearly bill reduction) and participate of the Demand Response Auction by IESO. \n \nIn Quebec, ÉTS should utilize a 250 kW BESS without any Photovoltaic Arrays, to reduce the peak power over 5 MW and participate of the GDP’s demand response program by HQ, but only if there is a financial incentive or donation to acquire the equipment from a supplier or the government, as it is going to occur to ÉTS. Otherwise, neither Photovoltaic system nor batteries banks are recommended.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,405
Score d'incertitude au seuil0,805

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0080,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,260
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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